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医源性诱发急性变态反应性神经炎的恢复评估。

Evaluation of recovery in iatrogenic evoked acute mediatinitis.

机构信息

Department of Thoracic Surgery, General and Oncological Surgery, Medical University of Lodz, 113 Żeromskiego St., 90-549, Łódź, Poland,

出版信息

Inflammation. 2013 Oct;36(5):1055-63. doi: 10.1007/s10753-013-9637-8.

Abstract

This study attempts to find a prediction method of death risk in patients with acute mediastinitis (AM). There is no such tool described in available literature for this serious disease. The study comprised 37 consecutive cases of iatrogenic AM. General anamnesis and biochemical data were included. Factor analysis was used to extract the risk characteristic for the patients. The most valuable results were obtained for eight parameters, which were selected for further statistical analysis (all collected during a few hours after admission). Three factors reached eigenvalue > 1. Clinical explanations for these combined statistical factors are as follows: Factor 1--proteinic status (serum total protein, albumin, and hemoglobin level), Factor 2--inflammatory status (white blood cells, C-reactive protein, and procalcitonin), and Factor 3--general risk (age and number of coexisting diseases). Threshold values of prediction factors were estimated using statistical analysis (factor analysis, Statgraphics Centurion XVI). The final prediction result for the patients is constructed as simultaneous evaluation of all factor scores. High probability of death should be predicted if factor 1 value decreases with simultaneous increase of factors 2 and 3. The diagnostic power of the proposed method was revealed to be high [sensitivity = 100 %, specificity = 69.2 %]: Factor 1 [SNC = 95.8 %, SPC = 76.9 %]; Factor 2 [SNC = 100 %, SPC = 53.8 %]; and Factor 3 [SNC = 75 %, SPC = 76.9 %]. The described method may turn out to be a valuable prognostic tool for patients with AM.

摘要

本研究试图为急性纵隔炎(AM)患者找到一种死亡风险预测方法。对于这种严重疾病,目前的文献中没有描述这样的工具。该研究包括 37 例连续的医源性 AM 病例。纳入了一般病史和生化数据。使用因子分析提取患者的风险特征。对于 8 个参数,获得了最有价值的结果,这些参数被选择用于进一步的统计分析(均在入院后数小时内收集)。有三个因素的特征值大于 1。对于这些联合统计因素的临床解释如下:因素 1-蛋白状态(血清总蛋白、白蛋白和血红蛋白水平),因素 2-炎症状态(白细胞、C 反应蛋白和降钙素原),因素 3-一般风险(年龄和共存疾病的数量)。使用统计分析(因子分析、Statgraphics Centurion XVI)估计预测因素的阈值值。患者的最终预测结果是通过对所有因子得分的同时评估构建的。如果因子 1 值降低,同时因子 2 和 3 增加,则应预测高死亡概率。所提出的方法的诊断能力被证明是很高的[灵敏度=100%,特异性=69.2%]:因子 1 [SNC=95.8%,SPC=76.9%];因子 2 [SNC=100%,SPC=53.8%];因子 3 [SNC=75%,SPC=76.9%]。该方法有望成为 AM 患者有价值的预后工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c10/3781308/eab756d2913c/10753_2013_9637_Fig1_HTML.jpg

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